Common Practices and Taxonomy in Deep Multi-view Fusion for Remote
Sensing Applications

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications

20 December 2022

Francisco Mena

Diego Arenas

Marlon Nuske

Papers citing "Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications"

5 / 5 papers shown

Title
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach Francisco Mena Diego Arenas A. Dengel 31 0 0 03 Jan 2025
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data Michael Mommert Nicolas Kesseli Joelle Hanna L. Scheibenreif Damian Borth Begum Demir 41 6 0 04 Jul 2023
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal Patrick Ebel Yajin Xu M. Schmitt Xiaoxiang Zhu 38 86 0 24 Jan 2022
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task C. Requena-Mesa V. Benson Markus Reichstein J. Runge Joachim Denzler 66 50 0 16 Apr 2021
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources S. Salcedo-Sanz Pedram Ghamisi M. Piles M. Werner L. Cuadra Á. Moreno-Martínez E. Izquierdo-Verdiguier Jordi Munoz-Marí Amir H. Mosavi G. Camps-Valls 29 174 0 07 Dec 2020